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Record W4416337689 · doi:10.1007/s10708-025-11542-y

Place, temporality, and wine identity: a visual analysis of winery website imagery in the Okanagan valley wine region

2025· article· en· W4416337689 on OpenAlexafffundabout
Danielle Gallina, Jonathan Cinnamon

Bibliographic record

VenueGeoJournal · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusQueen's University
FundersUniversity of British Columbia
KeywordsWineryWineTourismTerroirGeodiversityWinemakingConstruct (python library)Wine tastingTemporality

Abstract

fetched live from OpenAlex

Over the past few decades there has been major growth and transformation in the global wine industry, resulting in increased competition between wineries and wine regions. In this context, many wineries have sought to construct brand identities connected to terroir, tradition, culture, and heritage to distinguish themselves. In the past 30 years, the Okanagan region of British Columbia, Canada has made a name for itself as a New World wine region through its production of high-quality wine and exceptional wine tourism experiences, however little is known about the specific branding strategies of its wineries. Through an analysis of photographic images found on local winery websites, this study reveals how visual representations of place and temporality provide a recurring motif across a range of wineries. More specifically, Okanagan wineries rely on wider region-specific imaginaries to construct their identity, and attempt to evoke longer-term temporalities through imagery suggestive of both historical and intergenerational connection to place. Drawing on the literature on corporate heritage, this study shows how these ‘omni-temporal’ practices are used strategically by wineries to create authenticity in a bid to appeal to consumers influenced by wine’s conventional place-time imaginaries. Overall, these findings add to the wider literature on wine brand identity and have relevance for industry and regional development stakeholders interested in place- and time-based branding strategies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.508

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.271
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes3
Has abstractyes

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